Learning Multimodal VAEs Through Mutual Supervision
(2021)
Conference Proceeding
Joy, T., Shi, Y., Torr, P. H., Rainforth, T., Schmon, S. M., & Siddharth, N. (2022). Learning Multimodal VAEs Through Mutual Supervision.
Multimodal VAEs seek to model the joint distribution over heterogeneous data (e.g.\ vision, language), whilst also capturing a shared representation across such modalities. Prior work has typically combined information from the modalities by reconcil... Read More about Learning Multimodal VAEs Through Mutual Supervision.